摘要
针对氧气浓度这样的具有非线性、大迟延的控制对象,在基本模糊控制器的基础上,设计了参数自调整模糊控制器,用以调节便携式常压低氧环境中的氧的浓度。实验结果表明,参数自调整模糊控制系统具有较快的响应速度和较小的稳态误差,同时对被控对象的参数变化有一定的自适应能力,控制效果比常规模糊控制系统有明显的改善。
Aiming at the oxygen concentration target with high inertia and nonlinearity,this paper designs a parameters self-adjusting fuzzy controller to regulate the oxygen concentration in hypoxia environment basing on conventional simple fuzzy controller.Experimental results shows that the fuzzy controller of parameters self-adjusting has a faster response speed,smaller steady-state error and a certain adaptive capability while the parameters of the object change.The effect of parameters self-adjusting fuzzy controller has significantly improved than simple fuzzy controller.
出处
《工业控制计算机》
2010年第1期18-19,共2页
Industrial Control Computer
关键词
模糊控制
参数自调整
低氧环境
氧浓度
fuzzy controller,parameters self-adjusting,hypoxia environment,oxygen concentration